Cellular Decomposition for Non-repetitive Coverage Task with Minimum Discontinuities
Tong Yang, Jaime Valls Miro, Qianen Lai, Yue Wang, Rong Xiong

TL;DR
This paper introduces a novel method for generating non-repetitive coverage paths with minimal discontinuities for manipulators, reducing costly end effector lift-offs by analyzing configuration space structure and workspace decomposition.
Contribution
It provides a proof that the minimal number of path discontinuities depends only on the environment, and proposes an efficient cellular decomposition method for optimal workspace division.
Findings
Proven minimal number of discontinuities based on environment
Effective workspace decomposition for continuous coverage
Validated with simulations and real-world experiments
Abstract
A mechanism to derive non-repetitive coverage path solutions with a proven minimal number of discontinuities is proposed in this work, with the aim to avoid unnecessary, costly end effector lift-offs for manipulators. The problem is motivated by the automatic polishing of an object. Due to the non-bijective mapping between the workspace and the joint-space, a continuous coverage path in the workspace may easily be truncated in the joint-space, incuring undesirable end effector lift-offs. Inversely, there may be multiple configuration choices to cover the same point of a coverage path through the solution of the Inverse Kinematics. The solution departs from the conventional local optimisation of the coverage path shape in task space, or choosing appropriate but possibly disconnected configurations, to instead explicitly explore the leaast number of discontinuous motions through the…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Robotic Mechanisms and Dynamics · Robot Manipulation and Learning
